Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Legacy system integration Under Audit helps CTO / VP Engineering leaders test controls, evidence, ownership, failure handling, and recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to PII redaction pipelines helps enterprise leaders connect per-entity recall, utility loss, re-identification through context, placement in the flow, and reversibility to redaction that holds where it matters. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Agent tool calling Under Audit helps AI leaders connect tool registry, selection, argument, authorisation gate, and execution to controlled tool execution. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Strangler-fig migration helps CTO / Head of AI leaders connect capability boundary, traffic interception, data authority, dual-run validation, and decommission criteria to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Acceptable use policy design helps enterprise leaders connect followable rules, named data categories, sanctioned alternatives, enforcement placement, and review cadence to a policy people can actually comply with. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
The cost of technical due diligence includes engineering, controls, operations, change, recovery, and exit work that enterprise teams must keep funding. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
The cost of model api contract testing includes engineering, controls, operations, change, recovery, and exit work that enterprise teams must keep funding. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Disaster recovery for model services Under Audit helps platform leaders connect RTO, RPO, failover, artefacts, and tests to defensible model recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to IP provenance for AI code Under Audit helps CTO / General Counsel evaluate code provenance, licence review, generation records, human review, release evidence. Learn the controls, buying criteria, implementation approach, pitfalls, and production signals.
Operators are the right abstraction when a resource has real lifecycle logic that many teams need. Most of the time a Helm chart is enough, and writing one anyway costs you a maintainer.
Data quality SLAs Under Audit helps data leaders connect metrics, thresholds, owners, incidents, and evidence to defensible data service levels in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
The cost of ml infrastructure as code includes engineering, controls, operations, change, recovery, and exit work that enterprise teams must keep funding. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
The cost of kubernetes multi-tenancy includes engineering, controls, operations, change, recovery, and exit work that enterprise teams must keep funding. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Service Mesh helps SaaS engineering teams connect mutual authentication, traffic policy, observability, operational cost, and the problem being solved to a decision that used to be harder than it is now. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Probabilistic-output acceptance criteria carries engineering, control, operating, change, recovery, and exit costs that teams must model before scaling. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Shadow AI helps enterprise leaders connect unsanctioned tool use, data exposure, discovery methods, sanctioned alternatives, and policy realism to the AI already running in the organisation. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
The cost of agent secrets management includes engineering, controls, operations, change, recovery, and exit work that enterprise teams must keep funding. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
API gateways for machine clients carries engineering, control, operating, change, recovery, and exit costs that enterprise teams must model before scaling. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A dataset becomes a data product when it has an owner, an SLA, and someone who would complain if it broke. Without those three, you have a table with a nice name.
AI Data Catalogs help SaaS data teams connect automated harvesting, generated descriptions, ownership surfacing, duplicate detection, and usage signals to the question analysts across many teams actually ask. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Private model hosting Actually Costs helps leaders see the engineering, control, change, and risk costs behind the first implementation in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Data catalogues Under Audit helps data leaders connect owners, definitions, freshness, usage, and evidence to defensible metadata governance in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Enterprise AI Search helps leaders connect retrieval quality, permission enforcement, source attribution, stale content, and answer confidence to a system that answers without leaking or inventing. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Schema evolution Under Audit helps CDO / VP Data leaders test controls, evidence, ownership, failure handling, and recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
